Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 59.0678, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1858.0046, usercpu_time_millis: 45.381, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 45.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5351, kappa: 0.071, kb_relative_information_score: 42.0357, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1872.4881, usercpu_time_millis: 24.158, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 23.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5277, kappa: 0.0594, kb_relative_information_score: 21.0775, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5302, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1866.6776, usercpu_time_millis: 34.074, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 33.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 54.2909, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1863.4543, usercpu_time_millis: 56.364, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 56.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5103, kappa: 0.0264, kb_relative_information_score: 9.5961, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5135, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1874.977, usercpu_time_millis: 30.538, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 29.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5656, kappa: 0.137, kb_relative_information_score: 59.1948, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5704, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9804, scimark_benchmark: 1874.4489, usercpu_time_millis: 50.008, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 49.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.5723, kappa: 0.1452, kb_relative_information_score: 70.8037, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5728, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1866.1582, usercpu_time_millis: 60.332, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 59.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 61.4627, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5627, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1861.8971, usercpu_time_millis: 71.919, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 71.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 93.6468, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1870.2804, usercpu_time_millis: 45.879, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 45.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.5206, kappa: 0.0462, kb_relative_information_score: 11.4503, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5236, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1869.6309, usercpu_time_millis: 50.303, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 49.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 72.4633, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.977, scimark_benchmark: 1857.66, usercpu_time_millis: 77.13, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 75.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.5211, kappa: 0.0446, kb_relative_information_score: 9.4617, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5225, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1869.6309, usercpu_time_millis: 39.888, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 39.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.549, kappa: 0.1007, kb_relative_information_score: 32.4209, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5509, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, scimark_benchmark: 1878.3273, usercpu_time_millis: 47.678, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 47.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 65.8419, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9923, scimark_benchmark: 1867.4545, usercpu_time_millis: 47.964, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 47.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5292, kappa: 0.0627, kb_relative_information_score: 23.2229, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5319, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1848.2539, usercpu_time_millis: 67.823, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 66.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5502, kappa: 0.1007, kb_relative_information_score: 52.3909, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5504, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1856.2273, usercpu_time_millis: 80.134, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 79.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5494, kappa: 0.099, kb_relative_information_score: 51.8197, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1866.1679, usercpu_time_millis: 61.12, usercpu_time_millis_testing: 1.349, usercpu_time_millis_training: 59.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5618, kappa: 0.1238, kb_relative_information_score: 56.4901, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1867.1999, usercpu_time_millis: 86.883, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 86.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.5615, kappa: 0.1238, kb_relative_information_score: 39.8125, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5621, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1863.9794, usercpu_time_millis: 72.025, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 71.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.5334, kappa: 0.071, kb_relative_information_score: 25.779, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5361, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1853.0623, usercpu_time_millis: 67.571, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 66.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.5518, kappa: 0.104, kb_relative_information_score: 30.3045, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5521, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1857.2061, usercpu_time_millis: 97.125, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 96.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.5883, kappa: 0.1766, kb_relative_information_score: 89.6728, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5883, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1831.0865, usercpu_time_millis: 111.136, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 109.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5207, kappa: 0.0446, kb_relative_information_score: 21.8495, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1874.977, usercpu_time_millis: 83.365, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 82.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5036, kappa: 0.0149, kb_relative_information_score: 11.5694, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5077, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1872.0299, usercpu_time_millis: 12.663, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 11.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5272, kappa: 0.0561, kb_relative_information_score: 9.4568, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5283, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1866.6776, usercpu_time_millis: 34.724, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 34.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.5312, kappa: 0.0627, kb_relative_information_score: 41.0754, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1855.7107, usercpu_time_millis: 22.922, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 22.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5552, kappa: 0.1106, kb_relative_information_score: 55.4407, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1865.7643, usercpu_time_millis: 23.624, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 23.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5288, kappa: 0.0578, kb_relative_information_score: 36.7718, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5289, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1722.3068, usercpu_time_millis: 49.124, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 47.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5545, kappa: 0.1089, kb_relative_information_score: 40.5058, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1869.7524, usercpu_time_millis: 22.597, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 20.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.5478, kappa: 0.0957, kb_relative_information_score: 48.1935, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5479, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1971.4075, usercpu_time_millis: 9.815, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 9.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.5476, kappa: 0.0957, kb_relative_information_score: 47.4315, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.548, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1862.0869, usercpu_time_millis: 46.037, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 44.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5347, kappa: 0.071, kb_relative_information_score: 36.6133, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5357, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1861.3749, usercpu_time_millis: 48.183, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 47.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5305, kappa: 0.0611, kb_relative_information_score: 40.7957, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1843.0596, usercpu_time_millis: 33.232, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 32.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 90.3202, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5877, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9863, scimark_benchmark: 1874.5188, usercpu_time_millis: 24.817, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 24.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5334, kappa: 0.0693, kb_relative_information_score: 23.806, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.535, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1868.1832, usercpu_time_millis: 29.867, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 29.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.5202, kappa: 0.0462, kb_relative_information_score: 15.637, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5237, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1858.1494, usercpu_time_millis: 31.573, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 31.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5527, kappa: 0.1056, kb_relative_information_score: 51.4292, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5528, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1867.725, usercpu_time_millis: 49.529, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 49.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5209, kappa: 0.0479, kb_relative_information_score: 15.4788, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5246, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1863.3902, usercpu_time_millis: 87.145, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 86.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 70.1882, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5744, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1859.4255, usercpu_time_millis: 67.152, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 64.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 70.2673, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.985, scimark_benchmark: 1858.7074, usercpu_time_millis: 96.407, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 95.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5203, kappa: 0.0446, kb_relative_information_score: 10.5976, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1871.9601, usercpu_time_millis: 45.008, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 44.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5304, kappa: 0.0644, kb_relative_information_score: 25.4016, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5327, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1816.6224, usercpu_time_millis: 45.244, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 44.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.5233, kappa: 0.0495, kb_relative_information_score: 24.397, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1862.0186, usercpu_time_millis: 52.139, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 51.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.599, kappa: 0.198, kb_relative_information_score: 90.7056, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.599, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9751, scimark_benchmark: 1851.8785, usercpu_time_millis: 74.68, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 74.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5382, kappa: 0.0792, kb_relative_information_score: 32.4561, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5401, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1867.1358, usercpu_time_millis: 85.326, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 84.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5285, kappa: 0.0611, kb_relative_information_score: 20.8721, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5311, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1865.4816, usercpu_time_millis: 72.974, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 72.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 69.5806, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1861.3749, usercpu_time_millis: 58.867, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 57.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5723, kappa: 0.1452, kb_relative_information_score: 68.8735, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5728, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9881, scimark_benchmark: 1866.1679, usercpu_time_millis: 79.509, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 78.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 68.902, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1859.4881, usercpu_time_millis: 106.547, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 106.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.5666, kappa: 0.1337, kb_relative_information_score: 69.3055, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.567, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1869.1727, usercpu_time_millis: 39.088, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 38.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5354, kappa: 0.0726, kb_relative_information_score: 25.4886, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5366, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1877.2162, usercpu_time_millis: 56.552, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 55.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 82.2219, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9885, scimark_benchmark: 1839.6597, usercpu_time_millis: 77.094, usercpu_time_millis_testing: 1.791, usercpu_time_millis_training: 75.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.5716, kappa: 0.1436, kb_relative_information_score: 84.8793, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1796.3863, usercpu_time_millis: 50.967, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 50.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.5501, kappa: 0.1007, kb_relative_information_score: 56.5256, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5504, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1795.0776, usercpu_time_millis: 324.818, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 323.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5575, kappa: 0.1155, kb_relative_information_score: 57.0362, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5579, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1865.6428, usercpu_time_millis: 25.792, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 25.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.54, kappa: 0.0809, kb_relative_information_score: 45.7841, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5406, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1872.8797, usercpu_time_millis: 24.426, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 23.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0236, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1873.9387, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5644, kappa: 0.1287, kb_relative_information_score: 57.8237, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1754.0053, usercpu_time_millis: 6.115, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 5.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.5779, kappa: 0.1568, kb_relative_information_score: 89.775, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5787, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9879, scimark_benchmark: 1850.0944, usercpu_time_millis: 101.18, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 100.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.5452, kappa: 0.0908, kb_relative_information_score: 47.2581, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5455, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1877.2162, usercpu_time_millis: 117.456, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 116.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.55, kappa: 0.1007, kb_relative_information_score: 49.1726, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5505, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9889, scimark_benchmark: 1873.9387, usercpu_time_millis: 121.812, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 121.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.5941, kappa: 0.1881, kb_relative_information_score: 88.6998, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5941, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9753, scimark_benchmark: 1867.6581, usercpu_time_millis: 139.011, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 138.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.5862, kappa: 0.1733, kb_relative_information_score: 103.4803, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.587, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847, scimark_benchmark: 1869.2942, usercpu_time_millis: 143.398, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 142.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5552, kappa: 0.1106, kb_relative_information_score: 55.8119, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1867.6581, usercpu_time_millis: 143.812, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 142.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.5235, kappa: 0.0528, kb_relative_information_score: 22.9451, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5271, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1870.4545, usercpu_time_millis: 2.764, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5, kb_relative_information_score: -0.004, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1739.4805, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.5204, kappa: 0.0446, kb_relative_information_score: 10.9518, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1871.0479, usercpu_time_millis: 40.226, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 39.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0176, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 787.8104, usercpu_time_millis: 2.643, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.266,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs